In this episode of GydeBites, host Prasanna Vaidya speaks with Evan Reich, Chief Product Officer and Head of AI at BWG Global, about why proprietary intelligence is becoming the foundation of enterprise AI. They explore how organizations can combine their data, business knowledge, and expertise to create a lasting competitive advantage.
The conversation explores the essential building blocks of proprietary intelligence systems, including knowledge graphs, reasoning layers, governance, and the organizational challenges involved in building them. Evan also shares the common mistakes organizations make and what it takes to build AI systems that deliver consistent, differentiated outcomes over time.
Whether you're an AI leader, product owner, or business executive, this episode provides practical insights for building AI systems that reflect your organization's unique strengths and create long-term business value.
What is proprietary intelligence, and why is it becoming more important than generic AI?
What are the challenges in building proprietary intelligence systems?
What are the essential building blocks of a proprietary intelligence system?
How do you move from proprietary data to proprietary intelligence?
How do you keep a proprietary intelligence system accurate and competitive as AI evolves?
Chief Product Officer & Head of AI, BWG Global
With over 25 years of experience, Evan has led data strategy and product innovation across the financial services industry. His expertise spans data strategy and sourcing, data engineering, alternative data, investment intelligence, and applied AI.